148 results about "Ecosystem services" patented technology

The invention provides a grassland degradation and recovery condition evaluation method integrating an ecological structure and a service index, and the method comprises the steps: constructing a grassland ecological index data set based on multi-source remote sensing data, soil data and meteorological data, and carrying out the inversion of a single-factor monitoring index comprising an ecological system structure index and an ecological system service index; identifying an ecosystem service beam, and performing ecological partitioning on the research area by using the ecosystem service beam; determining the weight of the single-factor monitoring index of each ecological partition, and calculating a grassland health and service comprehensive index according to the weight of the single-factor monitoring index; and evaluating grassland degradation and recovery grades by using the grassland health and service comprehensive indexes. According to the method, the ecological system structure and the service indexes are comprehensively considered, and the comprehensiveness of the indexes is ensured; meanwhile, the difference of grassland ecosystem functions of different regions is fully considered, the index weight is adjusted according to the region characteristics, and the scientificity and reliability of the evaluation result are remarkably improved.

The invention discloses an ecological system monitoring method based on an INVEST model, and belongs to the technical field of ecological system monitoring, and the method comprises the steps: S1, building a unified ecological monitoring data frame through satellite remote sensing, an Internet of Things sensor and a ground survey multi-source data collection and cleaning algorithm; s2, dynamically adjusting INVEST model parameters based on regional ecological characteristics and a machine learning algorithm, according to the method, ecological system services are quantitatively evaluated by using an INVEST model core module, key ecological parameters are extracted in combination with a remote sensing inversion technology, the problems that traditional ground survey is high in cost and limited in coverage range are solved, and the method is suitable for large-scale popularization and application. The remote sensing data preprocessing and classification algorithm improves the efficiency and precision of surface feature information extraction, the PLUS model simulates the land utilization change scene and CMIP6 climate scene input, the INVEST model is combined to quantify the future ecosystem service function, and the limitation that the traditional static assessment cannot cope with the dynamic environment change is solved.

The invention relates to a drainage basin multi-scale ecological environment evaluation and prediction method and system, and relates to the technical field of data processing, and the method comprises the steps: constructing a multi-dimensional data fusion index of a drainage basin; according to the multi-dimensional data fusion index of the drainage basin, determining an ecological service comprehensive evaluation value of the drainage basin; according to the multi-dimensional data fusion index and the ecological service comprehensive evaluation value of the drainage basin, performing multi-scale synergistic effect evaluation on the drainage basin, and determining a scale conversion synergistic value of the drainage basin; performing space-time evolution prediction on the ecosystem service of the drainage basin, and determining an ecosystem service space-time evolution prediction value of the next time point of the drainage basin; and according to the multi-dimensional data fusion index of the drainage basin, the ecological service comprehensive evaluation value, the scale conversion cooperation value and the ecological system service space-time evolution prediction value of the next time point, carrying out stability evaluation on the ecological environment system of the drainage basin, and determining a stability evaluation index of the drainage basin. According to the method, the comprehensiveness and accuracy of evaluating and predicting the multi-scale ecological environment of the watershed can be improved.

The invention provides an ecological system quality quantitative analysis method and system, and the method comprises the steps: carrying out the standardization processing of a multi-dimensional data factor, and obtaining the evaluation results of three dimensions, i.e., an ecological system background state, an ecological system landscape structure, and an ecological system service function, based on the processed data factor. And performing weight distribution and comprehensive calculation on evaluation results of the background state, the landscape structure and the service function of the ecological system to obtain an ecological system quality index. Based on this, regression analysis is performed on the ecological system quality index and a plurality of data factors, and then the core driving factor is accurately identified. According to the scheme, multiple dimensions such as the background, the function and the structure of the ecological system are coupled to perform ecological system quality evaluation, the defects of single dimension, evaluation framework limitation and the like in the prior art are avoided, and an effective basis can be provided for regional ecological environment management, ecological restoration project layout and protection decision by determining the core driving factor.

The invention provides an ecological system service flow simulation and collaborative tradeoff relation quantification method based on a graph neural network, and relates to the technical field of ecological system service simulation and quantification. According to the method, the Huaihe River basin serves as a research area, firstly, a landscape is abstracted into a graph structure, ecological patches serve as nodes and are endowed with multi-dimensional features, ecological process flow paths serve as edges, and flow attributes are quantified; then, constructing a graph neural network model, and learning inherent rules of generation, flow and consumption of an ecological system service through training; and finally, realizing ecological system service, particularly dynamic simulation of supply service and adjustment service, and quantifying the collaborative tradeoff relation by adopting a multi-index fusion method. According to the method, the nonlinear correlation of the ecological process can be accurately captured, the flow simulation and relation quantification precision is improved, scientific support is provided for ecological planning and management of the Huaihe River basin, and compared with an InVEST model, the simulation error is reduced by 20%-30%, and the collaborative tradeoff recognition accuracy is improved by 15% or above.

The invention provides a wetland forest and grass ecosystem restoration strength evaluation method under drought stress. The method comprises the steps of data collection, daily-scale ecosystem service function index ESS construction, ecological drought identification and restoration elasticity curve construction. Wherein the time resolution of the index is accurate to the day, the capture of short-time drought below the monthly scale is enhanced, and the accurate description of the dynamic process of ecological system restoration under the drought stress is realized; combined identification is carried out on the drought events in combination with the standardized ecological water deficit, and the accuracy of identification of the drought events causing significant differences of ecological system service functions is improved; a quantile regression model is utilized to quantify the ecological system recovery capability of different vegetation types, and data characteristics of different recovery time distributions of the ecological system under the same drought intensity are considered, so that the defect that a traditional mean value regression model cannot fully describe drought complex characteristics is overcome; and a theoretical support is provided for sustainable development of an ecological system under an extreme climate condition.

The invention discloses a land utilization optimization method based on ecological system service supply and demand conflict balance. The method comprises the following steps: step 1, measuring and calculating supply and demand of each type of ES; step 2, ES supply and demand conflict area identification under the optimal analysis granularity; step 3, ES supply and demand dominant conflict area type identification; 4, performing multi-scene optimization on the land utilization quantity structure under the ES supply and demand conflict balance; step five, land utilization space pattern multi-scene optimization under ES supply and demand conflict balance; and 6, comparing land utilization optimization results under different scenes. According to the method, by means of multi-element models such as InVEST, RUSLE, linear distribution, ESDR, CESDR, GMLP and PLUS, land utilization optimization under multiple scenes is comprehensively carried out by taking optimization of a land utilization pattern and alleviation of ES supply and demand conflicts as targets, land utilization as a link, land utilization development probability as a link and ES supply and demand conflict balancing as a means.

A method for identifying an optimal corridor width includes: acquiring geographic information data of a target region; evaluating ecosystem service functions of the target region, and constructing an ecological source land in combination with a nature reserve; constructing a resistance surface indicator system, and obtaining a disaster susceptibility distribution result by using geological disaster distribution point data to correct a resistance surface, to thereby obtain a real resistance surface; importing data of the ecological source land and data of the real resistance surface into LINKAGE MAPPER to generate an ecological corridor; constructing an evaluation system of the optimal corridor width based on three aspects of cost-function-ecological benefits, and evaluating the ecological corridor by using an IEW-TOPSIS model to obtain the optimal corridor width of the ecological corridor. The method can compare and identify the corridor width most suitable for construction, and provide reference base for corridor construction.

The invention relates to the technical field of ecological restoration, in particular to a vegetation group ecological restoration design method based on multi-factor weighted scoring, and the method comprises the following steps: investigating and assigning scores; calculating an index; grading and matching; vegetation configuration design; and implementing and verifying. According to the method, key environment factors are investigated, ecological restoration suitability indexes are calculated, a multi-layer matching mechanism is introduced in combination with an actual scene, corresponding grades are matched according to scores, different regions are partitioned, and then a vegetation group ecological restoration scheme is independently designed, so that the ecological restoration target is achieved. According to the layered semicircular vegetation group module, the structural stability is enhanced, the water purification capacity is improved, the habitat continuity and spatial heterogeneity of a land and water transition zone can be built, the service function of an ecological system is remarkably improved, and the mode has the landscape function and the ecological function, is suitable for various types of ecological restoration scenes and has a wide application prospect. The popularization value is realized.

The invention relates to a method for identifying an ecological restoration priority area of an agricultural and pastoral interlaced area. The method comprises the steps of collecting ecological environment data of a research area; based on the ecological environment data, determining an ecological source through ecological system service importance evaluation and landscape connectivity evaluation; based on the ecological source, constructing an ecological comprehensive resistance surface, and extracting ecological pinch points and ecological obstacle points; based on the kernel normalization difference vegetation index and the humidity index, time sequence remote sensing trend analysis is carried out on the research area, and a vegetation degradation area is obtained; and regarding the ecological pinch point, the ecological obstacle point and the vegetation degradation area as an ecological restoration priority area. According to the method, ecological security pattern construction of a static view angle and dynamic analysis based on a long-time sequence remote sensing index are combined, a dual-system ecological restoration priority area identification framework is constructed, and the land space ecological protection and restoration priority area identification method of a farming and pastoral interlaced region is enriched; and scientific guidance is provided for improving overall restoration of a regional ecological system.

The invention discloses a human settlement environment quality evaluation method based on urban public service and ecological system service, and relates to the field of ecological environment evaluation, and the method comprises the steps: determining an evaluation region, and obtaining the natural, economic and remote sensing data of a year to be evaluated in the evaluation region; performing quantitative evaluation on the ecosystem service of the evaluation area from rainfall flood adjustment, heat island effect relief, air purification and park recreation in the ecosystem service; performing quantitative evaluation on the urban public service of the evaluation area from medical security, basic education and public culture in the urban public service; and carrying out weight superposition calculation on the score of each evaluation factor in the ecological system service and the urban public service to obtain a human settlement environment quality comprehensive score of the evaluation area. According to the method, human settlement environment quality evaluation can be carried out scientifically and comprehensively with resident demands as the core, and a direction is pointed out for city space optimization.

The invention provides a method for quantifying the influence of a black land cultivated land ecological barrier function on the grain yield, and relates to the technical field of grain yield influence assessment, and the method comprises the steps: obtaining the climate, soil, hydrology and land utilization geospatial data of a target ecological region; determining a black land cultivated land ecological barrier range, and calculating service function values of five types of ecological systems including habitat quality, water source conservation, soil conservation, water quality purification and carbon sequestration storage; generating an ecological barrier function comprehensive value ESI through normalization and equal weight superposition; calculating and normalizing the black land cultivated land grain yield in combination with remote sensing data and a harvest index method; and based on multi-scale window random sampling, fitting a non-linear relationship between ESI and grain yield, and determining an optimal proportion of an ecological barrier grid proportion, a minimum threshold value of an ecological function and a saturation threshold value of a cultivated land ecological function through derivative analysis. The problem of landscape or regional scale quantification is solved, and an accurate basis is provided for black land ecological restoration and grain safety decision making.

The invention discloses an ecological system service function evaluation method based on multi-source geographic spatio-temporal data, which comprises the following steps: S1, collecting the multi-source geographic spatio-temporal data to form a geographic spatio-temporal data set; s2, encoding spatial position information and time sequence information in the geographic spatio-temporal data set, and forming a spatio-temporal association feature set through an association relationship of data in a spatio-temporal dimension; s3, inputting the time-space correlation feature set into the constructed ecosystem service function evaluation model, obtaining a nonlinear mapping relationship between different features and ecosystem service functions, and establishing quantitative correlation between the features and the ecosystem service functions; s4, optimizing the model by adopting a training strategy combining reinforcement learning and supervised learning; and S5, inputting the space-time correlation characteristics of the to-be-evaluated region into the trained ecological system service function evaluation model, and obtaining a quantitative evaluation result. According to the invention, comprehensive, accurate and dynamic evaluation of ecological system service functions is realized.

The invention discloses an ecological hydrological monitoring method and system based on sensor network construction, and the method comprises the steps: analyzing a monitoring demand, setting a sensor layout scheme, and carrying out the sensor network construction in a target monitoring region through the sensor layout scheme; performing ecological monitoring on the target region by using the constructed sensor network to obtain regional ecological monitoring information, and constructing multi-modal ecological monitoring features according to the regional ecological monitoring information; and greenhouse gas release prediction and carbon flux inversion are performed on the target area through the multi-modal ecological monitoring features, whether an ecological event exists in the target area is judged, and ecological adjustment early warning is performed. The analysis bottleneck and response disadvantage of a traditional monitoring method are broken through, high-precision decision response is provided for ecological system service evaluation and climate change response, and meanwhile support is provided for guaranteeing regional ecological stability.

The invention discloses a mine ecological restoration evaluation and analysis method, a mine ecological restoration evaluation and analysis device, a mine ecological restoration evaluation and analysis device and a computer readable storage medium, and the method comprises the steps: carrying out the basic data collection of a to-be-evaluated mine region, and obtaining an ecological restoration current situation data set; performing index system construction based on the ecological restoration current situation data set, the continuously monitored ecological data time sequence and the ecological system service function data to obtain an ecological restoration degree index set, an ecological stability index set and an ecological functional index set; environment coefficient calculation is carried out based on the obtained plateau environment characteristic data, and an environment stress coefficient is obtained; based on the ecological restoration degree index set, the ecological stability index set, the ecological functional index set and the environmental stress coefficient, evaluation model construction processing is carried out, and a comprehensive ecological restoration evaluation model is obtained; and calculating the actually measured index data based on the comprehensive ecological restoration evaluation model to obtain a comprehensive evaluation score.

The invention discloses a territorial ecological restoration priority area division method and system based on dynamic evaluation, and relates to the technical field of ecological restoration and environmental governance, and the method comprises the steps: collecting the multi-source basic data of ecological system service, building a dynamic evaluation model integrating ecological supply and demand balance, human interference intensity and ecological vulnerability trend, and carrying out the calculation of the dynamic evaluation model. And according to a dynamic evaluation result, defining different repair priority level areas, and formulating a matched repair strategy. Through multi-source data dynamic acquisition and non-linear ecological supply and demand model construction, ecological imbalance areas of different degrees are accurately identified, ecological restoration measures and a real-time monitoring feedback mechanism are specifically implemented, dynamic optimization and differentiated implementation of ecological management measures are realized, and the accuracy and continuity of an ecological restoration effect are obviously improved.

The invention discloses an urban ecosystem service tradeoff and cooperative relationship analysis method and device. The method comprises the following steps: dividing a target region according to different spatial scales to obtain sample sets corresponding to the spatial scales respectively; acquiring basic geographic information data of the target area in different time periods; according to the basic geographic information data, calculating service evaluation results of each ecological system service in the target area and each sample in different time periods; according to a service evaluation result, calculating a pairwise trade-off cooperative relationship of each ecological system service under a plurality of spatial scales and time sequences; the samples are clustered according to the service evaluation results of the samples to obtain a plurality of service clusters, and the service clusters are used for representing overall tradeoff cooperation features of multiple ecological system services; and determining a management strategy of each ecological system service according to the pairwise trade-off cooperation relationship and the overall trade-off cooperation characteristics. According to the invention, tradeoff and collaboration characteristics of each ecological system service can be identified under multiple spatial scales and multiple time sequences.

The invention discloses a mangrove plant kandelia candel extraction method based on Sentinel-1 / 2 time sequence remote sensing images, and relates to satellite remote sensing image processing. The method comprises the following steps: generating year-by-year quantile data of an original spectral band and a spectral index by utilizing a Sentinel-1 / 2 time sequence image, and generating 10m elevation, gradient and slope direction data by adopting 30m global elevation data; establishing a research area classification system, and generating a training sample set according to a high-resolution image provided by Google Earth software; and generating a training model based on a random forest classification algorithm to obtain a mangrove plant kandelia candel distribution result. The mangrove plant kandelia candel extraction method based on percentile is designed by using Sentinel-1 / 2 time sequence remote sensing data, and high-precision extraction of the mangrove plant kandelia candel with plaque fragmentation and large scale is realized. The result shows that the spatial distribution condition of the kandelia candel community provides data support for mangrove forest ecological restoration, blue carbon evaluation, ecological system service evaluation and the like.

The invention provides a digital evolution method and system of an ecological system, and the method comprises the steps: obtaining animal and plant information, environment quality evaluation conditions and ecological system service function evaluation results in an ecological protection region according to biological data and environment data collected in the ecological protection region; generating a comprehensive feature matrix based on features extracted from animal and plant information, environment quality evaluation conditions and ecological system service function evaluation results, and performing deep learning on the comprehensive feature matrix to construct a digital twin engine; building a digital twinborn large model based on a digital twinborn engine, the large model static base information and a prediction model, wherein the prediction model supports natural evolution prediction and scene deduction; and in response to real-time data input into the digital twin large model, processing the real-time data and target data including ecological system historical data, and displaying ecological system panoramic dynamic information including a natural evolution prediction result and / or a scene deduction result on a visual interface.

The invention discloses an ecological protection area identification method based on ecological system service supply and demand mismatching, which comprises the following steps: measuring and drawing each ecological system service of a supply side and a demand side to obtain a supply horizontal spatial distribution map and a demand horizontal spatial distribution map; making a supply-demand aggregation graph by adopting GeoDa software, calculating by adopting ArcGIS software to obtain a comprehensive supply-demand ratio index, and constructing a comprehensive supply-demand ratio index spatial distribution graph; three main driving factors of the research area are screened out based on an OPGD model, and a driving space heterogeneity distribution diagram of the three driving factors is obtained by adopting an MGWR model; based on each ecological system service supply and demand aggregation graph, performing equal-weight integration by using a weighted stacking tool of ArcGIS software to generate a summary grid; then, based on the comprehensive supply-demand ratio index spatial distribution map, dividing the comprehensive supply-demand ratio index spatial distribution map into three clear areas by adopting a natural discontinuity point grading method; and finally, carrying out spatial integration by adopting a K-mode clustering analysis method in combination with the heterogeneity distribution diagram of the driving space, and completing the recognition of the ecological protection area.

The invention relates to a digital twin construction method and system of a terrestrial ecosystem, and the method comprises the steps: obtaining animal and plant information and environment quality evaluation conditions according to biological and environmental data collected in an ecological protection area; processing animal and plant information, an environment quality evaluation condition, a biological feature vector generated based on biological data, an environment feature vector generated based on environment data and a comprehensive feature vector generated by fusing the two types of vectors based on the evaluation large model to obtain an ecological system service function evaluation result; generating a comprehensive characteristic matrix based on animal and plant information, environment quality evaluation conditions and ecological system service function evaluation results, and performing deep learning on the comprehensive characteristic matrix to construct a digital twinborn engine; and after a digital twinborn large model is constructed based on the digital twinborn engine and the model static substrate information, in response to real-time data input into the digital twinborn large model, rendering a linkage state of species, environment and ecosystem service functions on a visual interface.

The invention relates to the technical field of data processing, in particular to an intelligent ecological environment partition management and control system and method, and the system comprises an ecological environment data collection module, an ecological environment quality evaluation module, an ecological environment management and control module and an ecological system database. According to the intelligent ecological environment zoning management and control system and method provided by the invention, the environment pollution degree evaluation index, the natural resource utilization efficiency evaluation index and the ecological system service quality evaluation index of each environment control area are comprehensively analyzed, and the comprehensive analysis method not only can comprehensively evaluate the regional ecological environment quality, but also can comprehensively evaluate the ecological environment quality. And standardization of ecological environment quality evaluation is also realized, and objectivity and consistency of evaluation results are ensured. By comparing different indexes, main problems and weak links influencing the regional ecological environment quality can be identified, and a basis is provided for formulating a targeted environmental protection strategy. And sustainable development of the region can be realized.

The invention discloses a coastal zone human activity interference remote sensing quantification and ecological profit and loss evaluation method and device, belongs to the technical field of remote sensing monitoring, and solves the problems of low efficiency due to dependence on field investigation and insufficient reliability caused by separation of ecological evaluation and remote sensing data in the prior art. The method is characterized by comprising the following steps: acquiring two-stage multispectral remote sensing images containing multiple wavebands such as blue light at an interval of 5-10 years and with spatial resolution of 10-30m, and synchronously integrating tide, elevation and geological background data; eliminating environmental errors of image radiometric calibration and atmospheric correction; calculating a normalized building index based on the short-wave and near-infrared band reflectivity, and detecting a quantized interference area in combination with land utilization classification change; and the change area and the corrected intensity change value are extracted and input into an ecological system service value model, and an evaluation result is output by using a unit area value equivalent factor method. According to the method, full-process remote sensing automatic processing is realized, field investigation is avoided, the difference adjustment cost is effectively reduced, and the pertinence of management decision is remarkably improved.

The invention relates to the technical field of ecological system service value evaluation, in particular to an intelligent ecological system service value dynamic evaluation system, which comprises a data collecting and processing module for collecting ecological system related data and carrying out data processing on the collected data; the dynamic association module is used for establishing dynamic association among the data based on the processed data; the service value dynamic evaluation module is used for comprehensively evaluating the service value of the ecological system based on the established dynamic relevance between the data; according to the invention, through the dynamic association module, the dynamic association among the biological data, the water quality data and the tree coverage data is constructed, and the model can be dynamically adjusted according to the real-time data; the parameters of the evaluation model are adjusted in real time through a self-adaptive feedback mechanism and based on the actually observed ecological system service value, so that dynamic correction is carried out, the prediction precision of the model is improved, and early warning and real-time management can be carried out on potential service change or environmental deterioration in the ecological system.

The invention discloses a small watershed forest landscape space construction method based on function improvement, and relates to the technical field of landscape construction methods. The method comprises the following steps: S1, small watershed basic data collection and analysis; s2, forest landscape space layout planning; s3, vegetation configuration and planting design; s4, calculating landscape influence factors; s5, vegetation configuration and planting design: calculating a landscape target by using a landscape target calculation model based on the obtained landscape influence factors of different plant types and forest landscape spatial layout planning information; and S6, dynamically adjusting the landscape target: dynamically adjusting the divided region information and the plant species according to the set landscape target, and calculating the adjusted ecological target value according to the adjusted region information and the plant species information until the landscape target value is a set value. According to the method, the ecological environment can be protected, the service function and landscape quality of the ecological system are improved, and the method has sustainability and stability.

The invention discloses an ecological system service dominant factor identification method. The method comprises the following steps: 1) establishing a basic ecological system service influence factor database; 2) selecting key evaluation indexes for evaluating the target area and quantifying the key evaluation indexes; 3) constructing a multiple linear regression model, and introducing a nonlinear term correction model; 4) performing primary screening on influence factors in the correction model based on a variance expansion factor VIF; 5) further screening the influence factors by using optimal subset feature screening, and establishing a corresponding influence factor index system; and 6) carrying out local regression analysis by adopting an improved multi-scale geographically weighted regression MGWR model, and identifying the ecosystem service dominant factor according to an obtained regression coefficient value. The method disclosed by the invention not only can reveal the dominant factors of ecosystem services in different areas and on different scales, but also ensures that the identified dominant factors have statistical significance through significance test on the regression coefficient, and enhances the credibility and practicability of an analysis result.

The invention discloses a fishery water area ecosystem service value improvement evaluation method based on an INVEST model and a related device, and the method comprises the steps: collecting multi-layer vertical profile water quality data in real time through setting an underwater sensor matrix with adaptive profile adjustment capability; the method comprises the following steps: acquiring hyperspectral image data, multispectral and SAR data and fishery fishing and breeding data, and generating a standardized spatio-temporal data set; inputting the standardized spatio-temporal data set into an INVEST evaluation model to synthesize the standardized spatio-temporal data set into an ecological system service total value; simulating a dynamic evolution track of the service value of the ecological system; and performing global optimization on the dynamic evolution trajectory of the ecological system service value to obtain an ecological system service value improvement optimization strategy set. According to the method, an underwater sensor matrix with adaptive profile adjustment capability is created for the first time, intelligent tracking and continuous monitoring of a key vertical ecological layer of a water body are realized, an optimal measure combination is output by predicting a future service value evolution trajectory in a rolling manner, and a time sequence and space deployment map is implemented.

The invention discloses a water area space land utilization function evaluation regulation and control method. The method comprises the following steps: collecting multi-source heterogeneous data of a water area space to construct a three-dimensional heterogeneous information network; inputting the three-dimensional heterogeneous information network into a pre-trained heterogeneous graph neural network to generate a node embedding vector; based on the node embedding vector, extracting a dynamic evolution characteristic tensor of a water area space land utilization function through a space-time diagram convolutional network; inputting the dynamic evolution characteristic tensor into an ecological system service value evaluation model, and outputting an ecological value matrix; and by taking the ecological value matrix as a constraint condition, calling a multi-objective optimization algorithm and performing collaborative optimization in combination with a multi-agent reinforcement learning framework, and generating a Pareto optimal solution set of water area space land utilization planning and a corresponding water area function partition configuration scheme. According to the method, scientificity, reasonability and sustainability of water area space land utilization planning are achieved, the land utilization rate is increased, and sustainable development of the water area space is promoted.

This invention provides a Bayesian-based method and apparatus for spatial trade-off and synergistic optimization of ecosystem services, relating to the fields of ecology and statistics. The invention acquires an ecological spatial database of a target area, uses ArcGIS software's netting and clipping tools to generate a grid layer of a specified size for the target area, obtaining a pixel set. Based on the ecological spatial database and pixel set, the blue carbon storage, biodiversity maintenance capacity, and coastal protection capacity of the target area are calculated, representing three ecosystem services. Furthermore, the coupling coordination degree is obtained to analyze the overall coordination level among ecosystem services. A Bayesian-based ecosystem service synergy prediction model is constructed using Netica software to identify key driving factors and output the probability distribution of corresponding nodes, simulating and analyzing potential synergistic impacts under different scenarios. This invention can accurately identify and clarify the trade-off and synergistic relationships of key ecosystem services such as coastal wetlands, achieving synergistic spatial optimization of ecosystem services.

The application provides a kind of urban ecological restoration priority order identification method, device and electronic equipment, the method comprises: obtaining the spatial distribution data of multiple ecosystem service indicators in different years in target urban area and carrying out standardization processing;According to the spatial distribution data of multiple ecosystem service indicators in different years after standardization processing, determine the ecosystem service cluster value ESB of each pixel corresponding to the preset grid scale in different years in target urban area;According to the ESB of each pixel in different years and impervious surface index value ISA, determine the ecological restoration target year period;For any target pixel, according to its ISA change rate in the ecological restoration target year period, and the ESB change rate of its neighborhood pixel in the ecological restoration target year period, determine its ecological restoration priority order. Prior area of urban ecological restoration area can be divided, improve the efficiency and economy of urban area ecological restoration.